At Lyft, our purpose is to serve and connect. Our Infrastructure team is passionate about building software to solve problems at massive scale. We do this often, and when we believe our solution is worth sharing with the community, such as Envoy Proxy, we open source our ideas for the benefit of others.

You ensure all teams at Lyft are aware of the operational health of their products by monitoring system availability and take a holistic view of our platform performance. You build software and platforms to automate infrastructure platform operations and management. By measuring and monitoring our operations you find opportunities to improve our systems in order to push our platform forward.

You provide our partners with the support they need to help them build robust large scale distributed systems. We count on the reliability of our infrastructure to empower Lyft teams to provide our customers rich experiences that are highly available with rock solid performance to ensure our transportation platform continues to connect people and places. Specifically we are searching for someone who brings fresh perspectives, enjoys collaborating with cross-functional teams in order to continually improve our products and services for our customers.

Maintain and analyze metrics from operating systems, control planes, and applications to assist in fault detection and performance enhancement. Collaborate with cross-functional engineering teams to enhance Lyft's observability and meet developers' needs, ensuring alignment with design and production readiness reviews, platform management, and capacity planning. Participate in our team's on-call rotations, respond to incidents, and support other teams to mitigate customer-impacting events. 3+ years of experience working on teams responsible for software development, automation, and systems engineering. ~ Bachelor's Degree or equivalent experience in Computer Science or a relevant discipline. ~ Proficiency in creating production-ready code in one or more high-level languages, such as Go or Python.



~ Experience operating infrastructure in public cloud environments, such as AWS, including familiarity with Managed Services. ~ Experience in building and maintaining observability infrastructure to support robust monitoring and analysis. ~ Extended health and dental coverage options, along with life insurance and disability benefits Family building benefits Child care and pet benefits Access to a Lyft funded Health Care Savings Account RRSP plan with company match to help save for your future In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy.

The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role.

Your recruiter can share more information about the various in-office perks Lyft offers. The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or advantages. Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

📌 Softwareentwickler - Java (Toronto)
🏢 Lyft
📍 Toronto